





"""simple docstring"""





SCREAMING_SNAKE_CASE__   =  "ABCDEFGHIJKLMNOPQRSTUVWXYZ"


def      UpperCAmelCase__				(    ):







      '''simple docstring'''




      lowerCAmelCase    		=			input("""Enter message: """     )
      lowerCAmelCase    		=			input("""Enter key [alphanumeric]: """     )
      lowerCAmelCase    		=			input("""Encrypt/Decrypt [e/d]: """     )

      if mode.lower().startswith("""e"""     ):
            lowerCAmelCase    		=			"""encrypt"""
            lowerCAmelCase    		=			encrypt_message(SCREAMING_SNAKE_CASE				,		SCREAMING_SNAKE_CASE     )
      elif mode.lower().startswith("""d"""     ):
            lowerCAmelCase    		=			"""decrypt"""
            lowerCAmelCase    		=			decrypt_message(SCREAMING_SNAKE_CASE				,		SCREAMING_SNAKE_CASE     )

      print(F'\n{mode.title()}ed message:'     )
      print(SCREAMING_SNAKE_CASE     )


def      UpperCAmelCase__				(    SCREAMING_SNAKE_CASE	:		str				,		SCREAMING_SNAKE_CASE	:		str     ):







      '''simple docstring'''




      return translate_message(SCREAMING_SNAKE_CASE				,		SCREAMING_SNAKE_CASE				,		"""encrypt"""     )


def      UpperCAmelCase__				(    SCREAMING_SNAKE_CASE	:		str				,		SCREAMING_SNAKE_CASE	:		str     ):







      '''simple docstring'''




      return translate_message(SCREAMING_SNAKE_CASE				,		SCREAMING_SNAKE_CASE				,		"""decrypt"""     )


def      UpperCAmelCase__				(    SCREAMING_SNAKE_CASE	:		str				,		SCREAMING_SNAKE_CASE	:		str				,		SCREAMING_SNAKE_CASE	:		str     ):







      '''simple docstring'''




      lowerCAmelCase    		=			[]
      lowerCAmelCase    		=			0
      lowerCAmelCase    		=			key.upper()

      for symbol in message:
            lowerCAmelCase    		=			LETTERS.find(symbol.upper()     )
            if num != -1:
                  if mode == "encrypt":
                        num += LETTERS.find(key[key_index]     )
                  elif mode == "decrypt":
                        num -= LETTERS.find(key[key_index]     )

                  num %= len(SCREAMING_SNAKE_CASE     )

                  if symbol.isupper():
                        translated.append(LETTERS[num]     )
                  elif symbol.islower():
                        translated.append(LETTERS[num].lower()     )

                  key_index += 1
                  if key_index == len(SCREAMING_SNAKE_CASE     ):
                        lowerCAmelCase    		=			0
            else:
                  translated.append(SCREAMING_SNAKE_CASE     )
      return "".join(SCREAMING_SNAKE_CASE     )


if __name__ == "__main__":
       main()













"""simple docstring"""





import unittest

from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_vision, slow, torch_device


if is_torch_available():
       import torch

       from transformers import AutoModelForImageClassification

if is_vision_available():
       from transformers import AutoImageProcessor

@require_torch
@require_vision
class 						lowercase   (   unittest.TestCase   ):





      @slow
      def        _snake_case     (			self					)						->	Any:
            lowerCAmelCase    		=			AutoImageProcessor.from_pretrained("""microsoft/dit-base-finetuned-rvlcdip"""					)
            lowerCAmelCase    		=			AutoModelForImageClassification.from_pretrained("""microsoft/dit-base-finetuned-rvlcdip"""					)
            model.to(lowercase					)

            from datasets import load_dataset

            lowerCAmelCase    		=			load_dataset("""nielsr/rvlcdip-demo"""					)

            lowerCAmelCase    		=			dataset["""train"""][0]["""image"""].convert("""RGB"""					)

            lowerCAmelCase    		=			image_processor(lowercase ,		return_tensors="""pt"""					).to(lowercase					)

            # forward pass
            with torch.no_grad():
                  lowerCAmelCase    		=			model(**lowercase					)
                  lowerCAmelCase    		=			outputs.logits

            lowerCAmelCase    		=			torch.Size((1, 16)					)
            self.assertEqual(logits.shape ,		lowercase					)

            lowerCAmelCase    		=			torch.tensor(
                [-0.4_158, -0.4_092, -0.4_347] ,		device=lowercase ,		dtype=torch.float ,		)
            self.assertTrue(torch.allclose(logits[0, :3] ,		lowercase ,		atol=1e-4					)					)






